Our client is seeking a detail-oriented and analytical Data Analyst to join their team. The successful candidate will be responsible for collecting, analyzing, and interpreting large datasets to help drive strategic business decisions. This role involves translating data into actionable insights for various departments
Key Responsibilities
Work with stakeholders to understand business objectives and information needs.
Design and maintain data systems and databases, including troubleshooting and resolving data-related issues.
Extract data from various sources (including ERP systems, databases, and reporting tools) and transform it into a usable format.
Develop and implement data analyses, data collection systems, and other strategies that optimize statistical efficiency and quality.
Interpret data, analyze results using statistical techniques, and provide ongoing reports.
Identify, analyze, and interpret trends or patterns in complex data sets.
Present findings and recommendations to non-technical stakeholders clearly and concisely through visualizations, reports, and presentations.
Ensure data accuracy and consistency across reports and systems.
Collaborate with IT and business teams on projects requiring data-related expertise.
Competencies and Qualifications
Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
Proven working experience as a Data Analyst or Business Data Analyst (2+ years preferred).
Technical expertise regarding data models, database design development, data mining, and segmentation techniques.
Strong knowledge of and experience with reporting packages (e.G., Power BI, Tableau) and databases (e.G., SQL, Oracle).
Proficiency in at least one scripting language for data manipulation (e.G., Python, R).
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Excellent communication and presentation skills with the ability to explain complex data to diverse audiences.
Experience with Enterprise Resource Planning (ERP) systems is a strong asset.
